code: def create_proxy(
      self,
      kind: str,
      target: Target,
      args: Tuple[Any, ...],
      kwargs: Dict[str, Any],
      name: Optional[str] = None,
      type_expr: Optional[Any] = None,
      proxy_factory_fn: Callable[[Node], "Proxy"] = None,
  ):
      proxy: ColoProxy = super().create_proxy(
          kind, target, args, kwargs, name, type_expr, proxy_factory_fn
      )
      unwrap_fn = (
          lambda p: p.meta_data if isinstance(p, ColoProxy) else p
      )
      if kind == "placeholder":
          proxy.meta_data = (
              self.meta_args[target]
              if target in self.meta_args
              else self.concrete_args.get(
                  _truncate_suffix(target), None
              )
          )
      elif kind == "get_attr":
          self.disable_module_getattr = True
          try:
              attr_itr = self.root
              atoms = target.split(".")
              for atom in atoms:
                  attr_itr = getattr(attr_itr, atom)
              proxy.meta_data = attr_itr
          finally:
              self.disable_module_getattr = False
      elif kind == "call_function":
          proxy.meta_data = target(
              *tree_map(unwrap_fn, args), **tree_map(unwrap_fn, kwargs)
          )
      elif kind == "call_method":
          self.disable_module_getattr = True
          try:
              if target == "__call__":
                  proxy.meta_data = unwrap_fn(args[0])(
                      *tree_map(unwrap_fn, args[1:]),
                      **tree_map(unwrap_fn, kwargs),
                  )
              else:
                  if target not in _TensorPropertyMethod:
                      proxy._meta_data = getattr(
                          unwrap_fn(args[0]), target
                      )(
                          *tree_map(unwrap_fn, args[1:]),
                          **tree_map(unwrap_fn, kwargs),
                      )
          finally:
              self.disable_module_getattr = False
      elif kind == "call_module":
          mod = self.root.get_submodule(target)
          self.disable_module_getattr = True
          try:
              args = tree_map(unwrap_fn, args)
              kwargs = tree_map(unwrap_fn, kwargs)
              if type(mod) in self._custom_leaf_module:
                  target = self._custom_leaf_module_impl[type(mod)]
                  proxy.meta_data = target(mod, *args, **kwargs)
              else:
                  proxy.meta_data = mod.forward(*args, **kwargs)
          finally:
              self.disable_module_getattr = False
      return proxy
  
imports: import functools
  import inspect
  from contextlib import contextmanager
  from typing import Any, Callable, Dict, Iterable, Optional, Set, Tuple, Type, Union
  import torch
  import torch.nn
  from torch.fx import Graph, Node, Proxy, Tracer
  from torch.utils._pytree import tree_map
  from colossalai._analyzer._subclasses import _TensorPropertyMethod, _TorchFactoryMethod
  from ..node_util import MetaInfo
  from .proxy import ColoProxy
label_desc: Use image node_id 5 for calling the ColoTracer obj's underlying member method code with example usage: obj.create_proxy(kind, target, args, kwargs, name, type_expr, proxy_factory_fn) and returns: proxy